fix test bugs

Author: chaoming0625

brainpy/_src/measure/correlation.py

@@ -147,33 +147,23 @@ def voltage_fluctuation(potentials, numpy=True, method='loop'):
       \chi^2 \left( N \right) = \frac{\sigma_V^2}{ \frac{1}{N} \sum_{i=1}^N
       \sigma_{V_i}^2}
 
-  Parameters
-  ----------
-  potentials : ndarray
-    The membrane potential matrix of the neuron group.
-  numpy: bool
-    Whether we use numpy array as the functional output.
-    If ``False``, this function can be JIT compiled.
-  method: str
-    The method to calculate all pairs of cross correlation.
-    Supports two kinds of methods: `loop` and `vmap`.
-    `vmap` method will consume much more memory.
-
-    .. versionadded:: 2.2.3.4
-
-
-  Returns
-  -------
-  sync_index : float
-      The synchronization index.
-
-  References
-  ----------
   .. [1] Golomb, D. and Rinzel J. (1993) Dynamics of globally coupled
          inhibitory neurons with heterogeneity. Phys. Rev. E 48:4810-4814.
   .. [2] Golomb D. and Rinzel J. (1994) Clustering in globally coupled
          inhibitory neurons. Physica D 72:259-282.
   .. [3] David Golomb (2007) Neuronal synchrony measures. Scholarpedia, 2(1):1347.
+
+  Args:
+    potentials: The membrane potential matrix of the neuron group.
+    numpy: Whether we use numpy array as the functional output. If ``False``, this function can be JIT compiled.
+    method: The method to calculate all pairs of cross correlation.
+       Supports two kinds of methods: `loop` and `vmap`.
+      `vmap` method will consume much more memory.
+
+      .. versionadded:: 2.2.3.4
+
+  Returns:
+    sync_index: The synchronization index.
   """
 
   potentials = bm.as_jax(potentials)

brainpy/_src/measure/tests/test_correlation.py

@@ -64,12 +64,12 @@ def test_cc5(self):
 
 class TestVoltageFluctuation(unittest.TestCase):
   def test_vf1(self):
-    rng = bm.random.RandomState(122)
-    voltages = rng.normal(0, 10, size=(1000, 100))
+    bm.random.seed()
+    voltages = bm.random.normal(0, 10, size=(100, 10))
     print(bp.measure.voltage_fluctuation(voltages))
 
     bm.enable_x64()
-    voltages = bm.ones((1000, 100)).value
+    voltages = bm.ones((100, 10)).value
     r1 = bp.measure.voltage_fluctuation(voltages)
 
     jit_f = jit(partial(bp.measure.voltage_fluctuation, numpy=False))

docs/tutorial_advanced/analysis.rst

@@ -1,4 +1,4 @@
-Interoperation
+Analysis
 ================
 
 .. toctree::